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Analytics on GCloud: Building Reliable Data Streams

Master real-time data processing with Google Cloud's streaming analytics tools and services.Building Resilient Streaming Analytics Systems on Google Cloud

Master real-time data processing with Google Cloud's streaming analytics tools and services.Building Resilient Streaming Analytics Systems on Google Cloud

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Engineering, Big Data, and Machine Learning on GCP Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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Analytics on GCloud: Building Reliable Data Streams

This course includes

7 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Build and manage streaming data pipelines

  • Implement Pub/Sub messaging systems

  • Develop Dataflow streaming transformations

  • Optimize BigQuery for streaming analytics

  • Master Bigtable for high-throughput streaming

Skills you'll gain

Streaming Analytics
Pub/Sub
Dataflow
BigQuery
Bigtable
Data Processing
Real-time Analytics
Cloud Computing
Data Pipeline
Performance Optimization

This course includes:

1.7 Hours PreRecorded video

6 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

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There are 7 modules in this course

This comprehensive course teaches you how to build resilient streaming data pipelines on Google Cloud. Learn to handle incoming streaming data with Pub/Sub, apply transformations using Dataflow, and store processed records in BigQuery or Bigtable. Through hands-on labs, you'll master real-time data processing, analytics dashboard creation, and performance optimization techniques for streaming systems.

Introduction

Module 1 · 1 Minutes to complete

Introduction to Processing Streaming Data

Module 2 · 9 Minutes to complete

Serverless Messaging with Pub/Sub

Module 3 · 1 Hours to complete

Dataflow Streaming Features

Module 4 · 1 Hours to complete

High-Throughput BigQuery and Bigtable Streaming Features

Module 5 · 2 Hours to complete

Advanced BigQuery Functionality and Performance

Module 6 · 1 Hours to complete

Summary

Module 7 · 1 Minutes to complete

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,729 Courses

Empowering Businesses with Expert Training from Google Cloud

The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.

Analytics on GCloud: Building Reliable Data Streams

This course includes

7 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.6 course rating

1,242 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.